VIS-210 · Embedded Vision · Practitioner
Jetson Camera Pipelines with LibArgus — full syllabus
Building capture and processing pipelines on NVIDIA Jetson, from sensor to inference input.
Duration3 full days in person · 6 half-days online
Cohortmax 14 in person · 20 online
Pricefrom SAR 7,880 in person · local pricing per city
Delivery35% principles · 20% guided investigation · 45% engineering studio
Who this course is for
Embedded software engineers building capture-to-inference pipelines on NVIDIA Jetson who need the camera stack understood and measured, not copied from a forum post.
Prerequisites
- Linux userspace development in C/C++
- Basic camera concepts (formats, exposure, frame rates)
- GStreamer fundamentals are helpful; CUDA exposure is a plus
Course outline
Day 1 — The Jetson camera stack
- Hardware path: sensor to CSI-2 receiver to VI and ISP engines
- Device-tree and sensor-driver integration on Jetson: channels, ports and the plugin-manager history you should know
- First frames: validating the path with v4l2-ctl before touching Argus
- The LibArgus API: CaptureProvider, CaptureSession, requests, streams and events
- Camera controls through Argus: exposure, gain, region of interest
Day 2 — Buffers and zero copy
- EGLStream and the buffer ownership flow between producer and consumer
- NvBuffer and dmabuf on Jetson: allocation, formats and colour-space conversion
- Zero-copy capture into CUDA: mapping frames without a memcpy
- Feeding inference: layout and format requirements of TensorRT-style inputs
- GStreamer integration: nvarguscamerasrc, nvvidconv and hardware encode with NVENC
Day 3 — Performance and multi-camera
- Profiling a capture pipeline: separating capture, ISP, conversion and inference time
- Finding the stall: frame drops, timestamp gaps and their causes
- Multi-camera on Jetson: session limits, bandwidth and synchronisation context
- Thermal and power effects on sustained pipelines
- Latency vs throughput settings and the configurations that actually move them
Hands-on labs
- Lab: Bring up a sensor on Jetson from device tree to first frames — validated with v4l2-ctl, then through a minimal LibArgus capture
- Lab: Write a LibArgus application that pulls frames to CPU memory and then re-maps the same frames into CUDA with zero copies, proving it from buffer addresses
- Lab: Build a GStreamer pipeline from nvarguscamerasrc through hardware H.264/H.265 encode and measure end-to-end glass-to-file latency
- Lab: Profile a capture-to-inference pipeline, identify the stall from timestamps and stage timings, fix it, and present before/after numbers
Capstone project
Deliver a measured sensor-to-inference pipeline on Jetson: Argus or GStreamer capture, a zero-copy path into CUDA/inference, and a profiling report that names the bottleneck, shows the evidence for it, and documents the improvement your fix produced.
What you leave with
- A working LibArgus capture application template with camera controls
- The Jetson device-tree/driver integration procedure from sensor to stream
- Zero-copy buffer flow into CUDA using NvBuffer/dmabuf and EGLStream
- GStreamer pipelines with nvarguscamerasrc and hardware encode
- A pipeline-profiling method that separates capture, ISP, convert and inference time
Upcoming dates
| Dates | Where | Seats | Early bird | Regular | |
|---|---|---|---|---|---|
| 11 Oct – 13 Oct 20263 full days | RiyadhIn person · KAFD Conference Centre | 9 of 14 | — | SAR 7,880 | |
| 11 Oct – 13 Oct 20263 full days | Kuwait CityIn person · Al Hamra Tower | 4 of 14 | — | KWD 650 | |
| 18 Oct – 20 Oct 20263 full days | MuscatIn person · Knowledge Oasis Muscat | 9 of 14 | — | OMR 810 | |
| 25 Oct – 1 Nov 20266 half-days | Gulf bandLive online · 09:00–13:00 GMT+3 | 7 of 20 | — | US$1,500 | |
| 26 Oct – 28 Oct 20263 full days | OttawaIn person · Kanata North Tech Park | 4 of 14 | — | CAD 2,860 | |
| 26 Oct – 28 Oct 20263 full days | TorontoIn person · MaRS Discovery District | 9 of 14 | — | CAD 2,860 | |
| 26 Oct – 2 Nov 20266 half-days | Europe bandLive online · 09:00–13:00 CET | 12 of 20 | — | US$1,500 | |
| 2 Nov – 4 Nov 20263 full days | LondonIn person · Shoreditch Works | 4 of 14 | — | GBP 1,640 | |
| 2 Nov – 9 Nov 20266 half-days | Americas bandLive online · 13:00–17:00 ET | 17 of 20 | — | US$1,500 | |
| 9 Nov – 11 Nov 20263 full days | BerlinIn person · Factory Görlitzer Park | 9 of 14 | EUR 1,740until 10 Oct |
Book a seat, or bring this course to your team
Seats can be reserved online; private delivery runs on-site or live online, adapted to your stack.
Questions about fit or prerequisites? Email hello@kernelsystems.academy. To save this syllabus, print this page to PDF from your browser.